Overview

Dataset statistics

Number of variables23
Number of observations52
Missing cells44
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory186.5 B

Variable types

Numeric23

Alerts

Year is highly overall correlated with Oil and 18 other fieldsHigh correlation
Oil is highly overall correlated with Year and 18 other fieldsHigh correlation
Natural gas is highly overall correlated with Year and 18 other fieldsHigh correlation
Coal is highly overall correlated with CharcoalHigh correlation
Hydroenergy is highly overall correlated with Year and 18 other fieldsHigh correlation
Nuclear is highly overall correlated with Year and 19 other fieldsHigh correlation
Firewood is highly overall correlated with Year and 17 other fieldsHigh correlation
Sugarcane and products is highly overall correlated with Year and 18 other fieldsHigh correlation
Other Primary_x000d_ is highly overall correlated with Year and 18 other fieldsHigh correlation
Total Primaries is highly overall correlated with Year and 18 other fieldsHigh correlation
Electricity is highly overall correlated with Year and 18 other fieldsHigh correlation
LPG is highly overall correlated with Year and 18 other fieldsHigh correlation
Gasoline/alcohol is highly overall correlated with Year and 18 other fieldsHigh correlation
Kerosene/jet fuel is highly overall correlated with Year and 18 other fieldsHigh correlation
Diesel oil is highly overall correlated with Year and 18 other fieldsHigh correlation
Coke is highly overall correlated with Year and 18 other fieldsHigh correlation
Charcoal is highly overall correlated with Coal and 1 other fieldsHigh correlation
Gases is highly overall correlated with Year and 17 other fieldsHigh correlation
Other secondary is highly overall correlated with Year and 18 other fieldsHigh correlation
Non-energy is highly overall correlated with Year and 18 other fieldsHigh correlation
Total Secundaries is highly overall correlated with Year and 18 other fieldsHigh correlation
Total is highly overall correlated with Year and 18 other fieldsHigh correlation
Nuclear has 20 (38.5%) missing valuesMissing
Coke has 24 (46.2%) missing valuesMissing
Year is uniformly distributedUniform
Year has unique valuesUnique
Oil has unique valuesUnique
Natural gas has unique valuesUnique
Coal has unique valuesUnique
Hydroenergy has unique valuesUnique
Firewood has unique valuesUnique
Sugarcane and products has unique valuesUnique
Other Primary_x000d_ has unique valuesUnique
Total Primaries has unique valuesUnique
Electricity has unique valuesUnique
LPG has unique valuesUnique
Gasoline/alcohol has unique valuesUnique
Kerosene/jet fuel has unique valuesUnique
Diesel oil has unique valuesUnique
Fuel oil has unique valuesUnique
Charcoal has unique valuesUnique
Gases has unique valuesUnique
Other secondary has unique valuesUnique
Total Secundaries has unique valuesUnique
Total has unique valuesUnique

Reproduction

Analysis started2023-07-30 07:25:43.544157
Analysis finished2023-07-30 07:27:51.668923
Duration2 minutes and 8.12 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

Year
Real number (ℝ)

HIGH CORRELATION  UNIFORM  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1995.5
Minimum1970
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:51.898668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1970
5-th percentile1972.55
Q11982.75
median1995.5
Q32008.25
95-th percentile2018.45
Maximum2021
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.0075944662
Kurtosis-1.2
Mean1995.5
Median Absolute Deviation (MAD)13
Skewness0
Sum103766
Variance229.66667
MonotonicityStrictly increasing
2023-07-30T07:27:52.395584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1970 1
 
1.9%
1971 1
 
1.9%
1998 1
 
1.9%
1999 1
 
1.9%
2000 1
 
1.9%
2001 1
 
1.9%
2002 1
 
1.9%
2003 1
 
1.9%
2004 1
 
1.9%
2005 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1970 1
1.9%
1971 1
1.9%
1972 1
1.9%
1973 1
1.9%
1974 1
1.9%
1975 1
1.9%
1976 1
1.9%
1977 1
1.9%
1978 1
1.9%
1979 1
1.9%
ValueCountFrequency (%)
2021 1
1.9%
2020 1
1.9%
2019 1
1.9%
2018 1
1.9%
2017 1
1.9%
2016 1
1.9%
2015 1
1.9%
2014 1
1.9%
2013 1
1.9%
2012 1
1.9%

Oil
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58977.471
Minimum8154.34
Maximum154997.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:52.791342image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8154.34
5-th percentile8251.9025
Q116017.455
median38599.435
Q395650.152
95-th percentile141846.58
Maximum154997.02
Range146842.68
Interquartile range (IQR)79632.697

Descriptive statistics

Standard deviation46928.086
Coefficient of variation (CV)0.79569512
Kurtosis-0.98665898
Mean58977.471
Median Absolute Deviation (MAD)30136.41
Skewness0.58992797
Sum3066828.5
Variance2.2022452 × 109
MonotonicityNot monotonic
2023-07-30T07:27:53.050491image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8161.58 1
 
1.9%
8521 1
 
1.9%
51879.72 1
 
1.9%
57281.46 1
 
1.9%
64476.57 1
 
1.9%
67531.29 1
 
1.9%
76656.76 1
 
1.9%
78822.08 1
 
1.9%
77099.9 1
 
1.9%
84292.39 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
8154.34 1
1.9%
8161.58 1
1.9%
8177.13 1
1.9%
8313.08 1
1.9%
8419 1
1.9%
8453.46 1
1.9%
8472.59 1
1.9%
8521 1
1.9%
8727.47 1
1.9%
8969.47 1
1.9%
ValueCountFrequency (%)
154997.02 1
1.9%
152713.43 1
1.9%
146535.95 1
1.9%
138009.83 1
1.9%
136142.17 1
1.9%
132390.79 1
1.9%
128078.9 1
1.9%
118510.82 1
1.9%
110095.17 1
1.9%
109150.99 1
1.9%

Natural gas
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10753.395
Minimum811.23
Maximum29776.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:53.320919image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum811.23
5-th percentile953.724
Q13263.5325
median6733.015
Q317160.71
95-th percentile27186.248
Maximum29776.74
Range28965.51
Interquartile range (IQR)13897.177

Descriptive statistics

Standard deviation9288.1889
Coefficient of variation (CV)0.86374482
Kurtosis-0.81672304
Mean10753.395
Median Absolute Deviation (MAD)5576.33
Skewness0.74334358
Sum559176.52
Variance86270453
MonotonicityNot monotonic
2023-07-30T07:27:53.563011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1102.24 1
 
1.9%
952.8 1
 
1.9%
8773.87 1
 
1.9%
9330.89 1
 
1.9%
10290.98 1
 
1.9%
10709.26 1
 
1.9%
12171.58 1
 
1.9%
12627.16 1
 
1.9%
13491.56 1
 
1.9%
14803.39 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
811.23 1
1.9%
909.97 1
1.9%
952.8 1
1.9%
954.48 1
1.9%
998.88 1
1.9%
1086.75 1
1.9%
1102.24 1
1.9%
1211.13 1
1.9%
1478.94 1
1.9%
1591.67 1
1.9%
ValueCountFrequency (%)
29776.74 1
1.9%
28755.43 1
1.9%
27852.81 1
1.9%
26640.88 1
1.9%
26524.65 1
1.9%
26371.48 1
1.9%
26084.41 1
1.9%
25907.8 1
1.9%
24093.3 1
1.9%
22365.47 1
1.9%

Coal
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2393.8167
Minimum1044.43
Maximum3798.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:53.821131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1044.43
5-th percentile1112.7635
Q12051.59
median2476.7
Q32911.4475
95-th percentile3277.163
Maximum3798.12
Range2753.69
Interquartile range (IQR)859.8575

Descriptive statistics

Standard deviation655.04371
Coefficient of variation (CV)0.27363987
Kurtosis-0.35711993
Mean2393.8167
Median Absolute Deviation (MAD)442.575
Skewness-0.37700893
Sum124478.47
Variance429082.26
MonotonicityNot monotonic
2023-07-30T07:27:54.072667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1044.43 1
 
1.9%
1108.82 1
 
1.9%
2071.85 1
 
1.9%
3095.2 1
 
1.9%
3798.12 1
 
1.9%
3174.93 1
 
1.9%
1990.81 1
 
1.9%
1815.54 1
 
1.9%
2145.08 1
 
1.9%
2477.92 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1044.43 1
1.9%
1055.34 1
1.9%
1108.82 1
1.9%
1115.99 1
1.9%
1215.73 1
1.9%
1457.99 1
1.9%
1489.87 1
1.9%
1742.96 1
1.9%
1815.54 1
1.9%
1925.15 1
1.9%
ValueCountFrequency (%)
3798.12 1
1.9%
3292.81 1
1.9%
3292.75 1
1.9%
3264.41 1
1.9%
3174.93 1
1.9%
3125.99 1
1.9%
3095.2 1
1.9%
3065.76 1
1.9%
3058.19 1
1.9%
3054.58 1
1.9%

Hydroenergy
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21265.354
Minimum3421.52
Maximum36745.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:54.314626image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3421.52
5-th percentile4697.6715
Q112799.355
median22337.045
Q331269.517
95-th percentile34341.533
Maximum36745.28
Range33323.76
Interquartile range (IQR)18470.162

Descriptive statistics

Standard deviation10203.648
Coefficient of variation (CV)0.47982499
Kurtosis-1.2292392
Mean21265.354
Median Absolute Deviation (MAD)9340.7
Skewness-0.2236102
Sum1105798.4
Variance1.0411444 × 108
MonotonicityNot monotonic
2023-07-30T07:27:54.571817image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3421.52 1
 
1.9%
3713.63 1
 
1.9%
24997.63 1
 
1.9%
25187.92 1
 
1.9%
26168.19 1
 
1.9%
23028.12 1
 
1.9%
24536.48 1
 
1.9%
26238.99 1
 
1.9%
27520.13 1
 
1.9%
28946.38 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
3421.52 1
1.9%
3713.63 1
1.9%
4356.82 1
1.9%
4976.55 1
1.9%
5646.13 1
1.9%
6214.2 1
1.9%
7127.67 1
1.9%
8036.06 1
1.9%
8832.62 1
1.9%
10021.87 1
1.9%
ValueCountFrequency (%)
36745.28 1
1.9%
35737.54 1
1.9%
34596.92 1
1.9%
34132.58 1
1.9%
34004.25 1
1.9%
33642.36 1
1.9%
33541.59 1
1.9%
33368.56 1
1.9%
32677.11 1
1.9%
32085.54 1
1.9%

Nuclear
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct32
Distinct (%)100.0%
Missing20
Missing (%)38.5%
Infinite0
Infinite (%)0.0%
Mean2559.4375
Minimum22.15
Maximum4203.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:54.832762image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22.15
5-th percentile46.057
Q1471.2925
median3509.305
Q33881.7875
95-th percentile4154.752
Maximum4203.27
Range4181.12
Interquartile range (IQR)3410.495

Descriptive statistics

Standard deviation1685.9549
Coefficient of variation (CV)0.65872085
Kurtosis-1.4500994
Mean2559.4375
Median Absolute Deviation (MAD)583.915
Skewness-0.65101649
Sum81902
Variance2842443.8
MonotonicityNot monotonic
2023-07-30T07:27:55.058991image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3581.88 1
 
1.9%
3665.67 1
 
1.9%
4203.27 1
 
1.9%
4084.71 1
 
1.9%
4101.73 1
 
1.9%
4134.34 1
 
1.9%
3839.81 1
 
1.9%
4007.72 1
 
1.9%
4026.28 1
 
1.9%
4179.7 1
 
1.9%
Other values (22) 22
42.3%
(Missing) 20
38.5%
ValueCountFrequency (%)
22.15 1
1.9%
41.03 1
1.9%
50.17 1
1.9%
86.75 1
1.9%
93.13 1
1.9%
133.52 1
1.9%
134.27 1
1.9%
155.67 1
1.9%
576.5 1
1.9%
829.82 1
1.9%
ValueCountFrequency (%)
4203.27 1
1.9%
4179.7 1
1.9%
4134.34 1
1.9%
4101.73 1
1.9%
4084.71 1
1.9%
4080.93 1
1.9%
4026.28 1
1.9%
4007.72 1
1.9%
3839.81 1
1.9%
3835.75 1
1.9%

Firewood
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28506.674
Minimum21485.38
Maximum33572.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:55.283940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum21485.38
5-th percentile23503.985
Q125800.012
median28828.095
Q331818.298
95-th percentile33043.5
Maximum33572.69
Range12087.31
Interquartile range (IQR)6018.285

Descriptive statistics

Standard deviation3356.7256
Coefficient of variation (CV)0.11775227
Kurtosis-1.1003096
Mean28506.674
Median Absolute Deviation (MAD)3002.66
Skewness-0.17851989
Sum1482347.1
Variance11267607
MonotonicityNot monotonic
2023-07-30T07:27:55.543145image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31851.53 1
 
1.9%
31807.22 1
 
1.9%
21485.38 1
 
1.9%
26030.68 1
 
1.9%
27122.53 1
 
1.9%
26396.7 1
 
1.9%
23885.45 1
 
1.9%
26264.33 1
 
1.9%
28107.89 1
 
1.9%
28311.33 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
21485.38 1
1.9%
21892.16 1
1.9%
23037.75 1
1.9%
23885.45 1
1.9%
24362.93 1
1.9%
24456.04 1
1.9%
24538.7 1
1.9%
24548.41 1
1.9%
24871.34 1
1.9%
25447.68 1
1.9%
ValueCountFrequency (%)
33572.69 1
1.9%
33339.56 1
1.9%
33153.94 1
1.9%
32953.14 1
1.9%
32924.95 1
1.9%
32776.82 1
1.9%
32765.98 1
1.9%
32598.64 1
1.9%
32565.18 1
1.9%
32143.13 1
1.9%

Sugarcane and products
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25958.092
Minimum3600.7
Maximum55650.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:55.794177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3600.7
5-th percentile4244.894
Q114626.415
median21841.81
Q343687.81
95-th percentile50813.092
Maximum55650.26
Range52049.56
Interquartile range (IQR)29061.395

Descriptive statistics

Standard deviation16371.674
Coefficient of variation (CV)0.63069634
Kurtosis-1.1588468
Mean25958.092
Median Absolute Deviation (MAD)12932.84
Skewness0.36286302
Sum1349820.8
Variance2.680317 × 108
MonotonicityNot monotonic
2023-07-30T07:27:56.053129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3600.7 1
 
1.9%
3841.81 1
 
1.9%
25155.22 1
 
1.9%
24575.26 1
 
1.9%
19894.6 1
 
1.9%
22800.11 1
 
1.9%
25271.78 1
 
1.9%
28348.27 1
 
1.9%
29367.05 1
 
1.9%
31354 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
3600.7 1
1.9%
3841.81 1
1.9%
4179.51 1
1.9%
4298.39 1
1.9%
4618.65 1
1.9%
4644.41 1
1.9%
4748.01 1
1.9%
6538.73 1
1.9%
7321.94 1
1.9%
8254.13 1
1.9%
ValueCountFrequency (%)
55650.26 1
1.9%
52911.27 1
1.9%
50943.37 1
1.9%
50706.5 1
1.9%
50472.22 1
1.9%
49772.25 1
1.9%
49469.74 1
1.9%
49352.81 1
1.9%
49278.67 1
1.9%
48898.73 1
1.9%

Other Primary_x000d_
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6188.8263
Minimum223.24
Maximum28037.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:56.293757image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum223.24
5-th percentile306.4625
Q11187.8975
median3046.135
Q38738.235
95-th percentile22061.834
Maximum28037.32
Range27814.08
Interquartile range (IQR)7550.3375

Descriptive statistics

Standard deviation7128.7485
Coefficient of variation (CV)1.1518741
Kurtosis1.5925218
Mean6188.8263
Median Absolute Deviation (MAD)2530.65
Skewness1.550425
Sum321818.97
Variance50819055
MonotonicityNot monotonic
2023-07-30T07:27:56.530783image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
223.24 1
 
1.9%
232.82 1
 
1.9%
3448.1 1
 
1.9%
3969.54 1
 
1.9%
4438.59 1
 
1.9%
4630.87 1
 
1.9%
5049.94 1
 
1.9%
5764.27 1
 
1.9%
5859.91 1
 
1.9%
6415.65 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
223.24 1
1.9%
232.82 1
1.9%
301.43 1
1.9%
310.58 1
1.9%
348.89 1
1.9%
362.61 1
1.9%
411.64 1
1.9%
470.39 1
1.9%
560.58 1
1.9%
821.72 1
1.9%
ValueCountFrequency (%)
28037.32 1
1.9%
24838.28 1
1.9%
22528.24 1
1.9%
21680.23 1
1.9%
19348.92 1
1.9%
17681.35 1
1.9%
16028.08 1
1.9%
14214.43 1
1.9%
12352.45 1
1.9%
11384.82 1
1.9%

Total Primaries
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155618.66
Minimum49405.24
Maximum327406.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:56.772418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum49405.24
5-th percentile51829.388
Q180741.548
median122755.79
Q3233243.45
95-th percentile308392.88
Maximum327406.3
Range278001.06
Interquartile range (IQR)152501.91

Descriptive statistics

Standard deviation87670.444
Coefficient of variation (CV)0.56336715
Kurtosis-1.0442865
Mean155618.66
Median Absolute Deviation (MAD)64260.4
Skewness0.52474254
Sum8092170.6
Variance7.6861067 × 109
MonotonicityNot monotonic
2023-07-30T07:27:57.041487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49405.24 1
 
1.9%
50178.1 1
 
1.9%
138388.26 1
 
1.9%
149493.11 1
 
1.9%
157963.37 1
 
1.9%
161966.66 1
 
1.9%
173171.73 1
 
1.9%
183317.37 1
 
1.9%
186621.75 1
 
1.9%
199083.08 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
49405.24 1
1.9%
50178.1 1
1.9%
51438.8 1
1.9%
52148.96 1
1.9%
54594.25 1
1.9%
54852.34 1
1.9%
55218.44 1
1.9%
56998.54 1
1.9%
58100.95 1
1.9%
61657.63 1
1.9%
ValueCountFrequency (%)
327406.3 1
1.9%
320203.76 1
1.9%
316885.14 1
1.9%
301444.67 1
1.9%
299117.1 1
1.9%
289898.1 1
1.9%
282871.37 1
1.9%
271870.42 1
1.9%
258149.77 1
1.9%
256130.87 1
1.9%

Electricity
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27000.921
Minimum3932.24
Maximum56285.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:57.303225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3932.24
5-th percentile5271.5705
Q113745.145
median24364.585
Q339794.685
95-th percentile52554.313
Maximum56285.46
Range52353.22
Interquartile range (IQR)26049.54

Descriptive statistics

Standard deviation15946.773
Coefficient of variation (CV)0.59060106
Kurtosis-1.138052
Mean27000.921
Median Absolute Deviation (MAD)12262
Skewness0.32398338
Sum1404047.9
Variance2.5429956 × 108
MonotonicityNot monotonic
2023-07-30T07:27:57.556681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3932.24 1
 
1.9%
4435.14 1
 
1.9%
27594.49 1
 
1.9%
28774.06 1
 
1.9%
29994.17 1
 
1.9%
28240.47 1
 
1.9%
29646.23 1
 
1.9%
31298.91 1
 
1.9%
33238.16 1
 
1.9%
34563.23 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
3932.24 1
1.9%
4435.14 1
1.9%
4913.79 1
1.9%
5564.3 1
1.9%
6163.56 1
1.9%
6785.78 1
1.9%
7739.65 1
1.9%
8683.39 1
1.9%
9690.82 1
1.9%
10898.2 1
1.9%
ValueCountFrequency (%)
56285.46 1
1.9%
53939.59 1
1.9%
53730.67 1
1.9%
51591.84 1
1.9%
50806.91 1
1.9%
50556.47 1
1.9%
50033.16 1
1.9%
49661.8 1
1.9%
49047.03 1
1.9%
47538.95 1
1.9%

LPG
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4429.5931
Minimum1049.23
Maximum6611.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:57.809078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1049.23
5-th percentile1522.918
Q13380.1375
median4225.985
Q35951.4225
95-th percentile6355.1805
Maximum6611.59
Range5562.36
Interquartile range (IQR)2571.285

Descriptive statistics

Standard deviation1619.7046
Coefficient of variation (CV)0.36565539
Kurtosis-0.83154614
Mean4429.5931
Median Absolute Deviation (MAD)1602.86
Skewness-0.42780255
Sum230338.84
Variance2623443
MonotonicityNot monotonic
2023-07-30T07:27:58.078120image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1049.23 1
 
1.9%
1148.75 1
 
1.9%
4225.02 1
 
1.9%
4376.78 1
 
1.9%
4619.78 1
 
1.9%
5165.84 1
 
1.9%
5535.26 1
 
1.9%
5825.22 1
 
1.9%
5963.07 1
 
1.9%
6611.59 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1049.23 1
1.9%
1148.75 1
1.9%
1292.49 1
1.9%
1711.45 1
1.9%
1785.16 1
1.9%
2108.29 1
1.9%
2197.36 1
1.9%
2245.27 1
1.9%
2727.5 1
1.9%
2927.76 1
1.9%
ValueCountFrequency (%)
6611.59 1
1.9%
6562.37 1
1.9%
6366.67 1
1.9%
6345.78 1
1.9%
6324.53 1
1.9%
6321.03 1
1.9%
6317.15 1
1.9%
6223.69 1
1.9%
6214.05 1
1.9%
6161.74 1
1.9%

Gasoline/alcohol
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24918.136
Minimum7209.16
Maximum41561.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:58.331115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7209.16
5-th percentile10140.913
Q115300.717
median23974.235
Q335277.775
95-th percentile39900.327
Maximum41561.04
Range34351.88
Interquartile range (IQR)19977.058

Descriptive statistics

Standard deviation10355.119
Coefficient of variation (CV)0.41556556
Kurtosis-1.2840903
Mean24918.136
Median Absolute Deviation (MAD)10106.19
Skewness0.019047577
Sum1295743.1
Variance1.0722849 × 108
MonotonicityNot monotonic
2023-07-30T07:27:58.576269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7209.16 1
 
1.9%
7657.67 1
 
1.9%
28366.24 1
 
1.9%
28883.67 1
 
1.9%
27995.57 1
 
1.9%
28598.96 1
 
1.9%
27774.05 1
 
1.9%
28160.18 1
 
1.9%
28794.22 1
 
1.9%
29908.65 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
7209.16 1
1.9%
7657.67 1
1.9%
9157.7 1
1.9%
10945.36 1
1.9%
11521.61 1
1.9%
11921.77 1
1.9%
12308.78 1
1.9%
12554.18 1
1.9%
12603.39 1
1.9%
13571.24 1
1.9%
ValueCountFrequency (%)
41561.04 1
1.9%
40484.16 1
1.9%
40087.41 1
1.9%
39747.26 1
1.9%
39193.06 1
1.9%
38705.57 1
1.9%
38376.53 1
1.9%
38027.01 1
1.9%
37519.07 1
1.9%
37106.6 1
1.9%

Kerosene/jet fuel
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3155.8356
Minimum1307.21
Maximum5232.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:58.823646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1307.21
5-th percentile1546.427
Q12688.76
median3115.17
Q33407.795
95-th percentile4930.8485
Maximum5232.99
Range3925.78
Interquartile range (IQR)719.035

Descriptive statistics

Standard deviation943.19451
Coefficient of variation (CV)0.29887315
Kurtosis0.094823699
Mean3155.8356
Median Absolute Deviation (MAD)382.225
Skewness0.26518219
Sum164103.45
Variance889615.88
MonotonicityNot monotonic
2023-07-30T07:27:59.094399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1307.21 1
 
1.9%
1338.29 1
 
1.9%
3239.1 1
 
1.9%
3256.66 1
 
1.9%
3385.21 1
 
1.9%
3383.49 1
 
1.9%
3236.63 1
 
1.9%
3374.83 1
 
1.9%
3489.21 1
 
1.9%
3386.46 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1307.21 1
1.9%
1338.29 1
1.9%
1391.47 1
1.9%
1673.21 1
1.9%
1771.39 1
1.9%
1909.72 1
1.9%
2012.09 1
1.9%
2058.79 1
1.9%
2356.86 1
1.9%
2605.57 1
1.9%
ValueCountFrequency (%)
5232.99 1
1.9%
5062.85 1
1.9%
4979.32 1
1.9%
4891.19 1
1.9%
4753.27 1
1.9%
4548.42 1
1.9%
4472.56 1
1.9%
4449.11 1
1.9%
4373.78 1
1.9%
3844.81 1
1.9%

Diesel oil
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25590.357
Minimum5674.61
Maximum44868.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:59.357188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5674.61
5-th percentile8244.263
Q116814.825
median23761.02
Q335877.24
95-th percentile42928.981
Maximum44868.97
Range39194.36
Interquartile range (IQR)19062.415

Descriptive statistics

Standard deviation11177.812
Coefficient of variation (CV)0.43679781
Kurtosis-1.0448484
Mean25590.357
Median Absolute Deviation (MAD)9049.565
Skewness0.076556097
Sum1330698.6
Variance1.2494348 × 108
MonotonicityNot monotonic
2023-07-30T07:27:59.613167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5674.61 1
 
1.9%
6065.55 1
 
1.9%
25291.5 1
 
1.9%
27842.15 1
 
1.9%
27470.28 1
 
1.9%
28309.88 1
 
1.9%
27547.57 1
 
1.9%
29861.47 1
 
1.9%
33191.42 1
 
1.9%
32860.57 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
5674.61 1
1.9%
6065.55 1
1.9%
7628.45 1
1.9%
8748.11 1
1.9%
9661.16 1
1.9%
10643.65 1
1.9%
12042.8 1
1.9%
13258.48 1
1.9%
14650.77 1
1.9%
15247.47 1
1.9%
ValueCountFrequency (%)
44868.97 1
1.9%
44636.45 1
1.9%
44098.1 1
1.9%
41972.43 1
1.9%
41116.27 1
1.9%
40887.87 1
1.9%
40586.93 1
1.9%
39442.53 1
1.9%
39421.37 1
1.9%
37746.73 1
1.9%

Fuel oil
Real number (ℝ)

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13840.837
Minimum8399.23
Maximum17701.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:27:59.880217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8399.23
5-th percentile10837.89
Q111781.323
median13818.355
Q315779.528
95-th percentile17215.786
Maximum17701.99
Range9302.76
Interquartile range (IQR)3998.205

Descriptive statistics

Standard deviation2297.2648
Coefficient of variation (CV)0.1659773
Kurtosis-0.86845529
Mean13840.837
Median Absolute Deviation (MAD)2010.92
Skewness-0.16849627
Sum719723.51
Variance5277425.4
MonotonicityNot monotonic
2023-07-30T07:28:00.149928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8399.23 1
 
1.9%
9216.61 1
 
1.9%
17701.99 1
 
1.9%
16048.46 1
 
1.9%
16164.63 1
 
1.9%
17233.92 1
 
1.9%
17483.34 1
 
1.9%
16472.43 1
 
1.9%
16151.67 1
 
1.9%
15103.2 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
8399.23 1
1.9%
9216.61 1
1.9%
10811.32 1
1.9%
10859.63 1
1.9%
11110.2 1
1.9%
11417.09 1
1.9%
11471.8 1
1.9%
11477.93 1
1.9%
11621.07 1
1.9%
11647.96 1
1.9%
ValueCountFrequency (%)
17701.99 1
1.9%
17483.34 1
1.9%
17233.92 1
1.9%
17200.95 1
1.9%
17096.64 1
1.9%
16472.43 1
1.9%
16461.05 1
1.9%
16387.39 1
1.9%
16164.63 1
1.9%
16151.67 1
1.9%

Coke
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct28
Distinct (%)100.0%
Missing24
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean4351.0686
Minimum31.73
Maximum6992.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:28:00.376435image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum31.73
5-th percentile51.592
Q1292.5275
median5598.535
Q36396.6125
95-th percentile6833.204
Maximum6992.33
Range6960.6
Interquartile range (IQR)6104.085

Descriptive statistics

Standard deviation2776.9794
Coefficient of variation (CV)0.63822928
Kurtosis-1.1415899
Mean4351.0686
Median Absolute Deviation (MAD)902.405
Skewness-0.87079735
Sum121829.92
Variance7711614.4
MonotonicityNot monotonic
2023-07-30T07:28:00.590364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
55.18 1
 
1.9%
5703.16 1
 
1.9%
5858.87 1
 
1.9%
6373.71 1
 
1.9%
6992.33 1
 
1.9%
6770.7 1
 
1.9%
6354.93 1
 
1.9%
6249.59 1
 
1.9%
6536.56 1
 
1.9%
6465.32 1
 
1.9%
Other values (18) 18
34.6%
(Missing) 24
46.2%
ValueCountFrequency (%)
31.73 1
1.9%
49.66 1
1.9%
55.18 1
1.9%
75.87 1
1.9%
140.7 1
1.9%
146.22 1
1.9%
175.19 1
1.9%
331.64 1
1.9%
4996.29 1
1.9%
5082.96 1
1.9%
ValueCountFrequency (%)
6992.33 1
1.9%
6866.86 1
1.9%
6770.7 1
1.9%
6665.49 1
1.9%
6664.91 1
1.9%
6536.56 1
1.9%
6465.32 1
1.9%
6373.71 1
1.9%
6354.93 1
1.9%
6324.37 1
1.9%

Charcoal
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4845.9346
Minimum1766.75
Maximum7921.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:28:00.829555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1766.75
5-th percentile2410.2605
Q13941.005
median4730.855
Q36097.91
95-th percentile6964.407
Maximum7921.96
Range6155.21
Interquartile range (IQR)2156.905

Descriptive statistics

Standard deviation1403.3329
Coefficient of variation (CV)0.28958973
Kurtosis-0.47846657
Mean4845.9346
Median Absolute Deviation (MAD)1012.535
Skewness-0.049532282
Sum251988.6
Variance1969343.2
MonotonicityNot monotonic
2023-07-30T07:28:01.097246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1766.75 1
 
1.9%
2012.13 1
 
1.9%
4218.66 1
 
1.9%
4988.84 1
 
1.9%
5454.91 1
 
1.9%
4972.58 1
 
1.9%
4863.8 1
 
1.9%
5722.42 1
 
1.9%
6498.98 1
 
1.9%
6374.86 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1766.75 1
1.9%
2012.13 1
1.9%
2331.77 1
1.9%
2474.48 1
1.9%
3086 1
1.9%
3347.52 1
1.9%
3403.06 1
1.9%
3483.13 1
1.9%
3573.33 1
1.9%
3689.77 1
1.9%
ValueCountFrequency (%)
7921.96 1
1.9%
7114.78 1
1.9%
7083.68 1
1.9%
6866.82 1
1.9%
6680.84 1
1.9%
6505.85 1
1.9%
6498.98 1
1.9%
6416.92 1
1.9%
6374.86 1
1.9%
6374.06 1
1.9%

Gases
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1481.6473
Minimum465.95
Maximum2097.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:28:01.348659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum465.95
5-th percentile495.308
Q11132.89
median1648.865
Q31832.6725
95-th percentile2032.703
Maximum2097.78
Range1631.83
Interquartile range (IQR)699.7825

Descriptive statistics

Standard deviation487.62354
Coefficient of variation (CV)0.32910905
Kurtosis-0.41109019
Mean1481.6473
Median Absolute Deviation (MAD)247.62
Skewness-0.89080455
Sum77045.66
Variance237776.72
MonotonicityNot monotonic
2023-07-30T07:28:02.520861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
465.95 1
 
1.9%
466.01 1
 
1.9%
1583.71 1
 
1.9%
1455.31 1
 
1.9%
1522.9 1
 
1.9%
1444.61 1
 
1.9%
1397.38 1
 
1.9%
1405.11 1
 
1.9%
1492.1 1
 
1.9%
1653.65 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
465.95 1
1.9%
466.01 1
1.9%
472.67 1
1.9%
513.83 1
1.9%
526.41 1
1.9%
623.25 1
1.9%
756.85 1
1.9%
851.53 1
1.9%
890.68 1
1.9%
949.89 1
1.9%
ValueCountFrequency (%)
2097.78 1
1.9%
2060.14 1
1.9%
2034.43 1
1.9%
2031.29 1
1.9%
1975.08 1
1.9%
1962.05 1
1.9%
1952.6 1
1.9%
1952.39 1
1.9%
1946.17 1
1.9%
1912.19 1
1.9%

Other secondary
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5476.3187
Minimum321.73
Maximum11128.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:28:02.875637image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum321.73
5-th percentile791.2945
Q12654.185
median4548.455
Q38810.9
95-th percentile10759.989
Maximum11128.08
Range10806.35
Interquartile range (IQR)6156.715

Descriptive statistics

Standard deviation3430.229
Coefficient of variation (CV)0.62637498
Kurtosis-1.4226
Mean5476.3187
Median Absolute Deviation (MAD)3040.14
Skewness0.17851009
Sum284768.57
Variance11766471
MonotonicityNot monotonic
2023-07-30T07:28:03.321027image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321.73 1
 
1.9%
579.44 1
 
1.9%
5336.75 1
 
1.9%
5976.39 1
 
1.9%
7052.28 1
 
1.9%
7256.68 1
 
1.9%
7468.19 1
 
1.9%
7500.81 1
 
1.9%
7676.38 1
 
1.9%
7830.61 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
321.73 1
1.9%
512.33 1
1.9%
579.44 1
1.9%
964.63 1
1.9%
1132.9 1
1.9%
1312.89 1
1.9%
1363.74 1
1.9%
1413.64 1
1.9%
1759.18 1
1.9%
2074.46 1
1.9%
ValueCountFrequency (%)
11128.08 1
1.9%
10956.64 1
1.9%
10820.66 1
1.9%
10710.35 1
1.9%
10704.22 1
1.9%
9996.36 1
1.9%
9968.73 1
1.9%
9508.23 1
1.9%
9410.46 1
1.9%
9291.12 1
1.9%

Non-energy
Real number (ℝ)

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3903.6346
Minimum840.39
Maximum7741.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:28:03.756873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum840.39
5-th percentile971.51
Q12923.5725
median3516.25
Q35361.8525
95-th percentile6989.9925
Maximum7741.35
Range6900.96
Interquartile range (IQR)2438.28

Descriptive statistics

Standard deviation1783.1027
Coefficient of variation (CV)0.45678011
Kurtosis-0.5909251
Mean3903.6346
Median Absolute Deviation (MAD)950.23
Skewness0.2973603
Sum202989
Variance3179455.1
MonotonicityNot monotonic
2023-07-30T07:28:04.229273image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
971.51 2
 
3.8%
886.77 1
 
1.9%
5354.14 1
 
1.9%
4031.75 1
 
1.9%
4493.34 1
 
1.9%
4033.31 1
 
1.9%
4299.88 1
 
1.9%
3627.3 1
 
1.9%
4148.51 1
 
1.9%
4272.74 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
840.39 1
1.9%
886.77 1
1.9%
971.51 2
3.8%
1367.85 1
1.9%
1552.87 1
1.9%
1722.99 1
1.9%
2131.26 1
1.9%
2295.13 1
1.9%
2536.17 1
1.9%
2713.15 1
1.9%
ValueCountFrequency (%)
7741.35 1
1.9%
7190.22 1
1.9%
7096.28 1
1.9%
6903.03 1
1.9%
6702.64 1
1.9%
6356.66 1
1.9%
6239.69 1
1.9%
6186.68 1
1.9%
6015.19 1
1.9%
5949.92 1
1.9%

Total Secundaries
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116986.1
Minimum31068.07
Maximum195038.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:28:04.687911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum31068.07
5-th percentile43367.646
Q176130.235
median105937.3
Q3162742.55
95-th percentile188895.25
Maximum195038.42
Range163970.35
Interquartile range (IQR)86612.317

Descriptive statistics

Standard deviation48569.122
Coefficient of variation (CV)0.41517003
Kurtosis-1.2054659
Mean116986.1
Median Absolute Deviation (MAD)38749.655
Skewness0.063026747
Sum6083277.2
Variance2.3589596 × 109
MonotonicityNot monotonic
2023-07-30T07:28:05.168996image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31068.07 1
 
1.9%
33809.63 1
 
1.9%
121755.98 1
 
1.9%
125634.07 1
 
1.9%
128153.06 1
 
1.9%
128639.75 1
 
1.9%
134446.24 1
 
1.9%
138331.63 1
 
1.9%
146137.62 1
 
1.9%
147914.95 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
31068.07 1
1.9%
33809.63 1
1.9%
39563.56 1
1.9%
46480.08 1
1.9%
50398.68 1
1.9%
55309.19 1
1.9%
58933.2 1
1.9%
61485.92 1
1.9%
68638.31 1
1.9%
73718.9 1
1.9%
ValueCountFrequency (%)
195038.42 1
1.9%
189790.51 1
1.9%
189223.67 1
1.9%
188626.54 1
1.9%
185167.45 1
1.9%
184019.81 1
1.9%
180745.62 1
1.9%
180060.68 1
1.9%
179999.23 1
1.9%
178263 1
1.9%

Total
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155618.66
Minimum49405.24
Maximum327406.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:28:05.637804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum49405.24
5-th percentile51829.388
Q180741.548
median122755.79
Q3233243.45
95-th percentile308392.88
Maximum327406.3
Range278001.06
Interquartile range (IQR)152501.91

Descriptive statistics

Standard deviation87670.444
Coefficient of variation (CV)0.56336715
Kurtosis-1.0442865
Mean155618.66
Median Absolute Deviation (MAD)64260.4
Skewness0.52474254
Sum8092170.6
Variance7.6861067 × 109
MonotonicityNot monotonic
2023-07-30T07:28:05.891986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49405.24 1
 
1.9%
50178.1 1
 
1.9%
138388.26 1
 
1.9%
149493.11 1
 
1.9%
157963.37 1
 
1.9%
161966.66 1
 
1.9%
173171.73 1
 
1.9%
183317.37 1
 
1.9%
186621.75 1
 
1.9%
199083.08 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
49405.24 1
1.9%
50178.1 1
1.9%
51438.8 1
1.9%
52148.96 1
1.9%
54594.25 1
1.9%
54852.34 1
1.9%
55218.44 1
1.9%
56998.54 1
1.9%
58100.95 1
1.9%
61657.63 1
1.9%
ValueCountFrequency (%)
327406.3 1
1.9%
320203.76 1
1.9%
316885.14 1
1.9%
301444.67 1
1.9%
299117.1 1
1.9%
289898.1 1
1.9%
282871.37 1
1.9%
271870.42 1
1.9%
258149.77 1
1.9%
256130.87 1
1.9%

Interactions

2023-07-30T07:27:44.953886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:44.129874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:53.550543image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:58.375525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:03.934471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:09.113603image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:14.179416image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:19.746272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:24.294560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:29.210284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:35.057227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:39.686949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:45.473401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:50.134322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:54.849777image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:02.077156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:07.501978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:13.316034image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:17.971987image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:22.617726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:28.700422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:34.119158image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:40.126032image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:45.360504image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:44.653646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:53.960447image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:58.767893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:04.579914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:09.579610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:14.474883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:20.161465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:24.676008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:29.845008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:35.467243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:40.089661image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:46.033870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:50.554081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:55.625728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:02.491273image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:07.891820image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:13.599594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:18.381218image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:23.265082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:29.111087image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:34.527887image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:40.543023image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:45.588591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:45.118005image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:54.149705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:58.966968image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:04.883704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:09.774505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:14.654543image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:20.358823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:24.871898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:30.167415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:35.667215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:40.268194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:46.219441image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:50.772130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:55.826721image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:02.690686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:08.094923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:13.811496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:18.583045image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:23.597136image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:29.307908image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:34.726564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:40.739415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:45.771931image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:45.489419image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:54.340710image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:59.160682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:05.217303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:09.972279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:14.820052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:20.540582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:25.071889image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:30.479446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:35.869359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:40.458561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:46.409035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:50.970116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:56.632411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:02.881414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:08.297029image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:14.006812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:18.782592image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:23.917903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:29.497126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:34.907892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:40.940917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:45.945847image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:45.822372image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:54.530645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:59.373072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:05.456566image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:10.149853image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:15.021744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:20.712011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:25.252793image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:30.783344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:36.047261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:40.641768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:46.581945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:51.156935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:57.112303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:03.069876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:08.468274image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:14.173797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:18.967886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:24.193932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:29.668981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:35.092544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:41.121835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:46.146532image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:46.155325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:25:54.733148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2023-07-30T07:26:39.505826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:45.217604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:49.960796image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:26:54.652835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:01.885706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:07.281790image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:13.132704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:17.776385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:22.442489image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:28.498895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:33.929862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:39.941755image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:27:44.763922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-07-30T07:28:06.146792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
YearOilNatural gasCoalHydroenergyNuclearFirewoodSugarcane and productsOther Primary_x000d_Total PrimariesElectricityLPGGasoline/alcoholKerosene/jet fuelDiesel oilFuel oilCokeCharcoalGasesOther secondaryNon-energyTotal SecundariesTotal
Year1.0000.9900.9940.2140.9710.883-0.7910.9870.9990.9990.9990.9360.9870.8160.9860.1900.9060.1330.8050.9850.9380.9930.999
Oil0.9901.0000.9850.1890.9640.884-0.7720.9750.9890.9900.9890.9260.9740.8050.9740.1450.8970.1260.7930.9770.9240.9820.990
Natural gas0.9940.9851.0000.2080.9680.904-0.7950.9820.9940.9940.9930.9390.9830.8330.9810.1580.9160.1350.8090.9880.9370.9870.994
Coal0.2140.1890.2081.0000.200-0.3270.0230.1990.2130.2140.2230.2630.2670.3300.271-0.0410.2600.6520.3680.2400.2480.2550.214
Hydroenergy0.9710.9640.9680.2001.0000.819-0.7770.9620.9700.9710.9720.9300.9660.8160.9660.1910.8170.1850.8020.9700.9460.9680.971
Nuclear0.8830.8840.904-0.3270.8191.000-0.5910.8600.8800.8830.8640.7060.8430.7760.864-0.0320.794-0.6570.5590.9050.8610.8740.883
Firewood-0.791-0.772-0.7950.023-0.777-0.5911.000-0.796-0.791-0.789-0.788-0.691-0.788-0.654-0.785-0.322-0.7200.221-0.459-0.800-0.756-0.785-0.789
Sugarcane and products0.9870.9750.9820.1990.9620.860-0.7961.0000.9860.9870.9840.9280.9800.8060.9750.1590.8620.1330.8050.9750.9280.9780.987
Other Primary_x000d_\n0.9990.9890.9940.2130.9700.880-0.7910.9861.0000.9990.9980.9360.9860.8180.9850.1900.9090.1340.8050.9840.9380.9920.999
Total Primaries0.9990.9900.9940.2140.9710.883-0.7890.9870.9991.0000.9980.9360.9880.8160.9850.1890.9000.1340.8030.9840.9380.9921.000
Electricity0.9990.9890.9930.2230.9720.864-0.7880.9840.9980.9981.0000.9340.9890.8160.9870.1960.9080.1360.8070.9850.9400.9940.998
LPG0.9360.9260.9390.2630.9300.706-0.6910.9280.9360.9360.9341.0000.9410.7930.9430.2010.6890.2800.7580.9540.8990.9430.936
Gasoline/alcohol0.9870.9740.9830.2670.9660.843-0.7880.9800.9860.9880.9890.9411.0000.8270.9890.1990.8760.1390.8000.9840.9470.9930.988
Kerosene/jet fuel0.8160.8050.8330.3300.8160.776-0.6540.8060.8180.8160.8160.7930.8271.0000.8350.1480.8130.1900.6690.8500.8340.8210.816
Diesel oil0.9860.9740.9810.2710.9660.864-0.7850.9750.9850.9850.9870.9430.9890.8351.0000.2140.8830.1520.8010.9890.9530.9950.985
Fuel oil0.1900.1450.158-0.0410.191-0.032-0.3220.1590.1900.1890.1960.2010.1990.1480.2141.0000.1250.002-0.1600.1800.2870.2150.189
Coke0.9060.8970.9160.2600.8170.794-0.7200.8620.9090.9000.9080.6890.8760.8130.8830.1251.000-0.0720.9280.8910.8750.8970.900
Charcoal0.1330.1260.1350.6520.185-0.6570.2210.1330.1340.1340.1360.2800.1390.1900.1520.002-0.0721.0000.3370.1460.1430.1490.134
Gases0.8050.7930.8090.3680.8020.559-0.4590.8050.8050.8030.8070.7580.8000.6690.801-0.1600.9280.3371.0000.8050.7660.8060.803
Other secondary0.9850.9770.9880.2400.9700.905-0.8000.9750.9840.9840.9850.9540.9840.8500.9890.1800.8910.1460.8051.0000.9480.9880.984
Non-energy0.9380.9240.9370.2480.9460.861-0.7560.9280.9380.9380.9400.8990.9470.8340.9530.2870.8750.1430.7660.9481.0000.9480.938
Total Secundaries0.9930.9820.9870.2550.9680.874-0.7850.9780.9920.9920.9940.9430.9930.8210.9950.2150.8970.1490.8060.9880.9481.0000.992
Total0.9990.9900.9940.2140.9710.883-0.7890.9870.9991.0000.9980.9360.9880.8160.9850.1890.9000.1340.8030.9840.9380.9921.000

Missing values

2023-07-30T07:27:49.887673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-07-30T07:27:50.934454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-07-30T07:27:51.462971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

3YearOilNatural gasCoalHydroenergyNuclearFirewoodSugarcane and productsOther Primary_x000d_Total PrimariesElectricityLPGGasoline/alcoholKerosene/jet fuelDiesel oilFuel oilCokeCharcoalGasesOther secondaryNon-energyTotal SecundariesTotal
119708161.581102.241044.433421.52NaN31851.533600.70223.2449405.243932.241049.237209.161307.215674.618399.2355.181766.75465.95321.73886.7731068.0749405.24
219718521.00952.801108.823713.63NaN31807.223841.81232.8250178.104435.141148.757657.671338.296065.559216.6149.662012.13466.01579.44840.3933809.6350178.10
319728313.08909.971115.994356.82NaN32143.134298.39301.4351438.804913.791292.499157.701391.477628.4510859.6331.732331.77472.67512.33971.5139563.5651438.80
419738453.46811.231055.344976.55NaN31897.404644.41310.5852148.965564.301711.4510945.361673.218748.1112913.19NaN2474.48513.83964.63971.5146480.0852148.96
519748969.47954.481457.995646.13NaN32598.644618.65348.8954594.256163.561785.1611521.611771.399661.1613382.63NaN3086.00526.411132.901367.8550398.6854594.25
619758727.47998.881215.736214.20NaN33153.944179.51362.6154852.346785.782108.2912308.781909.7210643.6514323.34NaN3689.77623.251363.741552.8755309.1954852.34
719768472.591086.751489.877127.67NaN31881.904748.01411.6455218.447739.652197.3612554.182012.0912042.8015106.16140.703347.52756.851312.891722.9958933.2055218.44
819778177.131211.131742.968036.06NaN30822.136538.73470.3956998.548683.392245.2711921.772058.7913258.4815518.73NaN3403.06851.531413.642131.2661485.9256998.54
919788154.341478.941958.268832.62NaN29794.277321.94560.5858100.959690.822727.5013687.592356.8614650.7717096.64NaN3483.13890.681759.182295.1368638.3158100.95
1019798419.001591.672174.5710021.87NaN30374.668254.13821.7261657.6310898.202927.7614048.502631.1815247.4717200.95NaN4101.11970.862074.463618.4173718.9061657.63
3YearOilNatural gasCoalHydroenergyNuclearFirewoodSugarcane and productsOther Primary_x000d_Total PrimariesElectricityLPGGasoline/alcoholKerosene/jet fuelDiesel oilFuel oilCokeCharcoalGasesOther secondaryNon-energyTotal SecundariesTotal
432012109150.9922365.472513.0435737.544179.7025639.4945159.8311384.82256130.8747538.956345.7837106.604373.7840887.8713512.416665.494706.911962.059996.366903.03179999.23256130.87
442013106851.0624093.303292.8133642.364026.2824538.7049352.8112352.45258149.7749047.036324.5340484.164472.5644098.1014368.266465.324259.851903.3410704.227096.28189223.67258149.77
452014118510.8225907.803051.2432028.394007.7224871.3449278.6714214.43271870.4250806.916161.7441561.044891.1944636.4515736.826536.564193.111952.6010820.667741.35195038.42271870.42
462015128078.9026084.413058.1930853.723839.8124456.0450472.2216028.08282871.3750033.166366.6739747.264548.4244868.9713846.366249.593949.531873.2610956.646186.68188626.54282871.37
472016132390.7926640.882629.3932677.114134.3423037.7550706.5017681.35289898.1049661.806223.6938027.014753.2741116.2711477.936354.933573.331805.4410710.356356.66180060.68289898.10
482017138009.8329776.741925.8431818.864101.7324362.9349772.2519348.92299117.1050556.476321.0337519.075062.8537459.6111701.356770.703697.352031.2911128.086015.19178263.00299117.10
492018136142.1727852.811925.1533368.564084.7125447.6850943.3721680.23301444.6751591.846150.7939193.065232.9939442.5310811.326992.333872.592097.789410.465949.92180745.62301444.67
502019146535.9528755.432156.9934132.584203.2725661.4252911.2722528.24316885.1453730.675941.9540087.414979.3239421.3711680.876373.713993.211912.199968.735930.37184019.81316885.14
512020154997.0226524.652079.6034004.253665.6725646.5855650.2624838.28327406.3053939.596041.8938376.532682.3540586.9316387.395858.874005.351757.739291.126239.69185167.45327406.30
522021152713.4326371.482633.0831125.013835.7526017.9549469.7428037.32320203.7656285.465856.9638705.573278.2641972.4316109.256866.863915.432060.149109.185630.96189790.51320203.76